Senior Data Discovery and Enrichment Expert I at Elsevier

The ideal candidate is a researcher or data expert with over five years of experience in scientific publishing or biotech who has transitioned into AI model evaluation. You should have a deep academic background in bioengineering or biotechnology and understand how to measure the fairness and accuracy of generative AI outputs. **What makes it worth a look...** This role offers significant flexibility through a "work from anywhere" policy and flexible hours, alongside stable benefits like a Dutch share purchase plan and an annual profit share bonus. You will be at the forefront of Elsevier’s AI transformation by ensuring their flagship LeapSpace product remains reliable and ethical for the global scientific community. **You might be a good fit if you...** * Have a Master’s or PhD in Bioengineering or a related biotech field. * Are experienced in designing experiments to test for bias and transparency in machine learning models. * Understand the nuances of the academic research lifecycle and scholarly publishing. * Want to work in a remote-first, international environment focused on responsible AI.